On the design of resilient heterogeneous wireless sensor networks based on small world concepts

Guidoni, Daniel L.; Mini, Raquel A. F.; Loureiro, Antônio A. F.

doi:10.1016/j.comnet.2009.10.021

Cited by 58 publications

(39 citation statements)

References 22 publications

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“…Since the premise of implementing DAS is that each sensor node needs to have the location knowledge of all nodes in the network, it might pose a huge issue for practical implementation. On the basis of DAS, Guidoni et al [27] proposed an improved version ODASM (Online Directed Angulation towards the Sink node Model). In ODASM, the nodes are only required to know the geographical location of the nodes within their communication range.…”

Section: Small-worldmentioning

confidence: 99%

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Duan

et al. 2017

Complexity

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Scale-free network and small-world network are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of wireless sensor networks. However, currently both theories are not jointly applied to have further improvements in the generation of WSN topologies. Therefore, this paper proposes a cluster-structured evolution model of WSNs considering the characteristics of both networks. With introduction of energy sensitivity and maximum limitation of degrees that a cluster head could have, the performance of our model can be ensured. In order to give an overall assessment of lifting effects of shortcuts, four placement schemes of shortcuts are analyzed. The characteristics of small-world network and scale-free network of our model are proved via theoretical derivation and simulations. Besides, we find that, by introducing shortcuts into scale-free wireless sensor network, the performance of the network can be improved concerning energy-saving and invulnerability, and we discover that the schemes constructing shortcuts between cluster heads and the sink node have better promoted effects than the scheme building shortcuts between pairs of cluster heads, and the schemes based on the preferential principle are superior to the schemes based on the random principle.

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Section: Small-worldmentioning

confidence: 99%

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Duan

et al. 2017

Complexity

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“…Zhu et al (2009) attempt to exploit results from network theory to design energy efficient topologies based on small world networks. Guidoni et al (2010) present on-line models for the design of heterogeneous sensor network topologies that optimize trade-offs between energy and latency in data communication. In designing a small world ad hoc network, Zhang et al (2013) use energy efficiency as the primary metric, focusing on the trade off between energy consumption and network performance.…”

Section: Small World Ad Hoc Networkmentioning

confidence: 99%

Exploiting Small World Networks for Energy Efficiency in Network of Multi-Clock-Rate Wireless Devices

Sengupta

Murthy

2017

INAE Lett

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While state-of-the-art in wireless communication is highly spectrum efficient, it is still wanting in terms of energy efficiency. Sleep scheduling techniques provide limited gains due to the large fraction of time spent by wireless devices in idle-listening. The use of multi-clockrate sampling devices (MCDs) in conjunction with frequency agnostic preamble detection promises significant improvements in energy efficiency by downclocking the receiver to save energy. In this paper, we consider a wireless ad hoc network of MCDs, and model it as a small world network. We propose a new energy efficient small world network model for a network of MCDs, which considers the battery energy of the wireless nodes, the multi-hop transmission distance, and downclocking level of the devices. Results show that the proposed model is more energy efficient than the Newman and Watts model.

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“…He showed that it is possible to reduce the path length of wireless networks with the addition of a few short cut links. Guidoni et al [10] proposed on-line models to design heterogeneous sensor networks with small world features. The proposed model takes into account the data communication flow in this kind of networks to create shortcuts towards the sink in such a way that the communication between the sink and the sensor nodes is optimized.…”

Section: Wsns Communication Strategiesmentioning

confidence: 99%

Structural changes in data communication in wireless sensor networks

et al. 2013

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Abstract:Wireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them is a relevant issue since their structure is quite dynamic. The operational topology of such devices can often be described by complex networks. In this work, we assess the variation of measures commonly employed in the complex networks literature applied to wireless sensor networks. Four data communication strategies were considered: geometric, random, small-world, and scale-free models, along with the shortest path length measure. The sensitivity of this measure was analyzed with respect to the following perturbations: insertion and removal of nodes in the geometric strategy; and insertion, removal and rewiring of links in the other models. The assessment was performed using the normalized Kullback-Leibler divergence and Hellinger distance quantifiers, both deriving from the Information Theory framework. The results reveal that the shortest path length is sensitive to perturbations. PACS

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On the design of resilient heterogeneous wireless sensor networks based on small world concepts

Cited by 58 publications

References 22 publications

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks

Exploiting Small World Networks for Energy Efficiency in Network of Multi-Clock-Rate Wireless Devices

Structural changes in data communication in wireless sensor networks

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